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Data Analysis Basics: Variables and Distribution

North Carolina Center for Public Health Preparedness The North Carolina Institute for Public Health Data Analysis basics : Variables and Distribution VOLUME 3, ISSUE 5 How do you know whether a chemi-cal spill in a factory caused illness in the workers? How do you know what food caused an outbreak of salmo-nella in your community? In a field investigation, you often want to know whether a particular exposure ( , a chemical spill) is associated with any possible illness, or which of many possible expo-sures is associated with a particular illness ( , what was the potential cause of an outbreak of salmonella). You start the process of answering these questions by choosing a study design, developing a questionnaire, and gathering data in the field. All of these were discussed in previous issues of FOCUS.

the analysis is definitely rewarding. This issue of FOCUS will take you through the basic steps of descrip-tive data analysis, including types of variables, basic coding principles and simple univariate data analysis. Types of Variables Before delving into analysis, let’s take a moment to discuss variables. This may seem a trivial topic to those

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